Triple

T4229203
Position Surface form Disambiguated ID Type / Status
Subject Greater Concepción E94535 entity
Predicate includesCommune P15149 FINISHED
Object Tomé
Tomé is a coastal commune and city in Chile’s Biobío Region, known for its textile industry, fishing activities, and beaches.
 E422378 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Tomé | Statement: [Greater Concepción, includesCommune, Tomé]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tomé
Context triple: [Greater Concepción, includesCommune, Tomé]
  • A. Tomas
    Tomas is a masculine given name commonly used in various European and Latin American countries, often equivalent to "Thomas" in English.
  • B. Tomis
    Tomis was an ancient Greek and later Roman city on the Black Sea coast, in present-day Constanța, Romania, best known as the remote outpost where the poet Ovid was exiled by Emperor Augustus.
  • C. Timoteo
    Timoteo is a masculine given name, commonly used in Romance-language countries, derived from the biblical name Timothy.
  • D. Tomasino
    Tomasino is the colloquial term used to refer to students of the University of Santo Tomas in the Philippines.
  • E. Toma
    Toma is a major Mande language spoken primarily in Guinea and neighboring West African countries.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tomé
Triple: [Greater Concepción, includesCommune, Tomé]
Generated description
Tomé is a coastal commune and city in Chile’s Biobío Region, known for its textile industry, fishing activities, and beaches.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tomé
Target entity description: Tomé is a coastal commune and city in Chile’s Biobío Region, known for its textile industry, fishing activities, and beaches.
  • A. Tomas
    Tomas is a masculine given name commonly used in various European and Latin American countries, often equivalent to "Thomas" in English.
  • B. Tomis
    Tomis was an ancient Greek and later Roman city on the Black Sea coast, in present-day Constanța, Romania, best known as the remote outpost where the poet Ovid was exiled by Emperor Augustus.
  • C. Timoteo
    Timoteo is a masculine given name, commonly used in Romance-language countries, derived from the biblical name Timothy.
  • D. Tomasino
    Tomasino is the colloquial term used to refer to students of the University of Santo Tomas in the Philippines.
  • E. Toma
    Toma is a major Mande language spoken primarily in Guinea and neighboring West African countries.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69b3453700a08190ae88792e3dc63207 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e61ccc081909b880baf1d6a0f24 completed March 12, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5964cd0088190a97ca5278046ba7b completed March 14, 2026, 5:09 p.m.
NEDg Description generation batch_69b596cc2a4c819089e785917cd700f2 completed March 14, 2026, 5:11 p.m.
NED2 Entity disambiguation (via description) batch_69b59769936081908c42c0006b6ad9c3 completed March 14, 2026, 5:14 p.m.
Created at: March 12, 2026, 11:05 p.m.